Do you want to drive business impact through data-driven insights and analytics? Are you passionate about transforming complex business questions into actionable insights? Do you enjoy working with stakeholders to solve challenging business problems?
At Amazon, we hire the best analytical minds to innovate and drive business growth on behalf of our customers. The focus we have on our customers is why we are one of the world's most beloved brands – customer obsession is part of our company DNA. Our Business Intelligence Engineers (BIEs) use advanced analytics and visualization tools to provide critical insights that shape business decisions.
As a BIE in CBA-CRM team, you will:
- Lead business review preparations by analyzing trends and providing data-driven recommendations
- Execute deep-dive analyses for migration initiatives, integrating findings into Amazon-wide tools
- Perform detailed post-experiment analysis to measure impact and guide future strategies
- Create and maintain comprehensive dashboards that drive key business decisions
We are looking for individuals who can translate complex data into clear, actionable insights while managing ambiguity and the pace of a company where decisions are data-driven and time-sensitive. If you are passionate about using data to drive business growth and customer satisfaction, apply and come chart your own path at Amazon.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
